Operetta High‐Content Imaging System (Perkin Elmer) or other microscope system able to read multi‐well plates, such as the
IN Cell Analyzer (General Electric) or the ImageXpress System (Molecular Devices)

NOTE: The materials listed here were used to create the MCF 10A data presented in this protocol, but different cell lines require
the use of different reagents. We encourage users, if possible, to run control experiments with MCF 10A cells as a means of
calibrating their results against ours.

This paper describes the theory behind GR metrics as a means to parameterize drug sensitivity. Explains why they are superior to classical metrics based on relative cell counts, and shows how GR data can be applied to gain insights into biological mechanisms of drug response.

Hafner et al. (2017). See above.

This article is the companion to the present article and focuses on the computational pipeline needed to run drug‐response experiments effectively. It can be used independently of the protocols described here, but for optimal results, both methods should be implemented together.

Haibe‐Kains et al. (2013). See above.

This work describes inconsistencies among recently published, large‐scale, pharmacogenomic studies. The authors identify significant discrepancies between the two studies.

Haverty et al. (2016). See above.

This manuscript explores the reproducibility of large‐scale pharmacogenomic profiling efforts, paying particular attention how variations in the experimental procedure can affect the outcome of drug‐response measurements.

Internet Resources

http://lincs.hms.harvard.edu/hafner‐natmethods‐2016/.

This is the landing page on the Harvard Medical School LINCS Web site for the paper describing the GR metrics (Hafner et al., ). It summarizes the method, provides all data from the paper, and links out to additional tools related to calculating GR metrics.

http://www.grcalculator.org/

The GR Calculator Web site provides explanations of GR metrics, examples of dose‐response datasets collected by the LINCS consortium, and the option of uploading a user's own data to automatically extract the GR metric parameters using the online GR calculator tool.